Data Scientist, Emerging Product-USDS

Responsibilities

About the Team:
The Emerging Product Engineering Team is the incubator for Tik Tok USDS JV's newest ventures in the US market. We are responsible for the end-to-end success of a diverse portfolio of non-Tik Tok applications, including Trae, Gauth, and MyTopia, as well as a growing pipeline of new products. We operate with a strong “0→1” mindset, prioritizing agility, rapid iteration, and creative problem-solving to build and scale products.

We are now looking for a Data Scientist who thrives in fast-paced, ambiguous environments and is passionate about building new businesses from the ground up. In this role, you will define measurement frameworks, unlock user insights, and build data-driven foundations that enable our emerging products to launch, localize, and scale successfully in the U.S. Market.

• Define 0→1 Metrics:
  Partner closely with Product Managers, Engineers, and growth teams to establish core KPIs, product health metrics, and foundational tracking for early-stage products.
• Unlock User Insights:
  Analyze early user behavior, engagement funnels, and retention patterns to deliver actionable insights that directly influence product roadmaps and successful U.S. market entry.
• Experimentation & Iteration:
  Design, execute, and analyze A/B tests or quasi-experiments to validate new features, localization efforts, and growth strategies under rapid iteration cycles.
• Data Infrastructure
  
  Collaboration:
  
  Work with data engineering teams to design scalable data pipelines, telemetry requirements, and robust dashboards that ensure high data quality and observability.
• Cross-Functional Partnership:
  Communicate complex data findings clearly to global engineering teams and cross-functional stakeholders (e.g., operations, marketing, and compliance) to align strategic goals.

• BS / MS in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics, or related field).
• 3+ years of data science or product analytics experience, delivering hands‑on insights for consumer-facing production applications.
• Proficiency in SQL and at least one programming language used for data analysis (e.g., Python or R).
• Solid understanding of statistical concepts, experimental design (A/B testing), and core product metrics (retention, conversion, engagement).

• Experience working in an incubator, startup, or “0 to 1” product environment.
• Strong business acumen with a proven track record of turning ambiguous, messy data into structured, actionable product recommendations.
• Familiarity with data visualization tools (e.g., Tableau, Looker) and distributed data processing frameworks (e.g., Hive, Spark).

The base salary range for this position in the selected city is $144000 - $329334 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates: